On the Performance of One|Stage and Two|Stage Object Detectors ...

Comparative Performance Evaluation of One-Stage and Two-Stage ...

Comparative Performance Evaluation of One-Stage and Two-Stage Object Detectors for Screw Head Detection and Classification in Disassembly Processes. Abstract.

yolov6: a single-stage object detection framework for industrial...

Notably, the AAT and BiC techniques consistently enhance the model's performance. Moreover, the paper demonstrates the potential of transfer learning in two ...

AFOD: Two-stage object detection based on anchor-free remote ...

Object detection can find the desired object on the image at a distance and can identify the category to which they belong and has universal and ...

[PDF] 3DSSD: Point-Based 3D Single Stage Object Detector

This paper presents a lightweight point-based 3D single stage object detector 3DSSD to achieve decent balance of accuracy and efficiency, and outperforms ...

Deep Neural Networks for Object Detection

The DNN localizer is applied on the windows defined by the initial detection stage – each of the 15 bounding boxes is enlarged by a factor of 1.2 and is applied ...

YOLO Algorithm and YOLO Object Detection - Appsilon

It was based on the SPDarknet53 architecture and introduced a fair amount of new concepts, such as Weighted Residual Connections, Cross-Stage-Partial ...

Comparative Study on the Performance of Single Stage Object ...

Comparative Study on the Performance of Single Stage Object Detection Models on Norwegian Roads Damage Detection ... one type of damage ...

AP-Loss for Accurate One-Stage Object Detection - Weiyao Lin

One-stage detectors: In object detection, the one-stage ap- proaches have relatively simpler architecture and higher efficiency than two-stage approaches.

Review on One-Stage Object Detection Based on Deep Learning

Object detection is one of the most fundamental and challenging tasks in computer vision. It not only needs to perform image classification on the categories ...

YOLO Algorithm for Object Detection Explained [+Examples] - V7 Labs

Object detection algorithms can be divided into two main categories: single-shot detectors and two-stage detectors. One of the earliest ...

A Review of YOLO, CNN and ViTs Hybrid Approach

... two-stage detectors and proposition-free, one-stage techniques. 1) Object detection in two stages. 2) Object detection in one stage. For one-stage detectors ...

What is Object Detection? - IBM

Two-stage detectors separate object localization and ... one-stage object detectors from scratch. Tutorial Train a YOLOv8 ...

10 Best Object Detection Models of 2024 - Hitech BPO

Its name is a testament to its design philosophy – efficiency at the forefront. EfficientDet has established itself as a top pick for object ...

AI Object Detection on the Edge: Making the Right Choice - Hailo AI

As a rule, single-stage detectors are more computationally efficient than two ... stage object detector with excellent performance, despite being heavily ...

Top 10 Object Detection Models in 2023! - LinkedIn

... performance, making them well-suited for object detection tasks. ... FCOS, or Fully Convolutional One-Stage Object Detection, is one such ...

What Makes for End-to-End Object Detection?

ing to the performance gap between them. Two-stage detector. The two-stage detectors (Cai & Vas- concelos, 2018; Dai et al., 2016; Girshick, 2015; He et al ...

YOLO Object Detection Algorithms 101: Part 1 | BasicAI's Blog

YOLO (You Only Look Once) is one of the first single-stage object detection ... two-stage and single-stage object detection based on their detection speed.

Introduction to object detection with deep learning | SuperAnnotate

On the other hand, two-stage object detectors are composed of region proposals followed by classification and refinement of the proposal. one ...

Confident IoU-Aware Single-Stage Object Detector From Point Cloud

2020; Shi and Rajkumar 2020) gradu- ally approach that of the state-of-the-art two-stage detectors. The advantages of time efficiency and competitive precision.

Active Learning for Single-Stage Object Detection in UAV Images

(ii) We propose two methods for addressing the problem of class imbalance by adjusting the uncertainty calculation based on the performance of each class. (iii).